Data analysis of the club with the highest net transfer record for each competition gruped by competition code

The following analysis aims to examine how much teams, grouped by league, spend on average each season on player transfers. It also visually analyzes the significant differences in the amounts of money spent by each team in each league, highlighting that as the spending increases, the prestige of the competition also rises.

Top 30 stadiums with the most seats

In this analysis, we explored the stadium capacities of football clubs to identify the top 30 teams with the largest stadiums. We started by grouping the clubs by their names and finding the maximum number of seats for each club’s stadium. After sorting these values in descending order, we selected the top 30 clubs with the largest stadium capacities.

To visualize these results, we created a bar chart using Plotly. Each bar represents a club, with its height corresponding to the maximum number of seats in their stadium. The chart is colored in sky blue for visual appeal. We also adjusted the layout to ensure that the club names are easily readable by tilting the x-axis labels.

The resulting chart provides a clear and interactive visual representation of the top 30 football clubs with the largest stadiums, highlighting the teams with the most substantial seating capacities.

Top 30 stadiums with the lowest seats capacity

In this analysis, we focused on identifying the football clubs with the smallest stadium capacities. We began by grouping the clubs by their names and determining the minimum number of seats available in each club’s stadium. After sorting these values in ascending order, we selected the top 30 clubs with the smallest stadium capacities.

To visualize these findings, we created a bar chart using Plotly. Each bar represents a club, with its height corresponding to the minimum number of seats in their stadium. The chart is colored in light green for a fresh look. We also adjusted the layout to ensure that the club names are easily readable by tilting the x-axis labels.

The resulting chart provides a clear and interactive visual representation of the top 30 football clubs with the smallest stadiums, highlighting the teams with the least seating capacities.

Top 20 clubs with the most national team players

data analysis of the club with the highest national team players

In this analysis, we focused on identifying the top 20 football clubs worldwide with the highest number of national team players. We started by sorting the clubs based on the number of players who are part of their national teams, in descending order. From this sorted list, we selected the top 20 clubs.

To visualize these results, we created a bar chart using Plotly. Each bar represents a club, with its height corresponding to the number of national team players in that club. The bars are colored blue to enhance visual appeal. The layout was adjusted to ensure the club names are easily readable by tilting the x-axis labels.

The resulting chart provides a clear and interactive visual representation of the top 20 football clubs with the most national team players, highlighting the clubs that contribute significantly to their national teams.

Data analysis of the largest player club

In this analysis, we aimed to identify the top 5 football clubs with the largest squad sizes. We began by sorting the clubs based on the size of their squads in descending order. From this sorted list, we selected the top 5 clubs with the largest number of players.

To present these findings, we created a bar chart using Plotly. Each bar represents a club, with its height corresponding to the size of the squad. The bars are colored green to enhance the visual appeal. We also adjusted the layout to ensure the club names are easily readable by tilting the x-axis labels.

The resulting chart provides a clear and interactive visual representation of the top 5 football clubs with the largest squad sizes, showcasing the clubs that have the most extensive rosters.

Analysis of the clubs with the highest win rate and goal rate

In this analysis, we examined the top 5 football clubs based on the number of wins and average goals scored per game. We calculated the total wins and average goals for each club, then merged these metrics with club names. The top 5 clubs with the most wins were selected. We visualized the results using a Plotly bar chart, where blue bars represent the number of wins and green bars represent the average goals scored, providing a clear comparison of club performance.

Analysis of the club with the prizes player and the club with the most wins

Analysis Overview: We conducted an analysis to compare two football teams: the team with the highest-paid player and the team with the most goals scored. We gathered and merged data on market values, total goals, squad size, average age, yellow and red cards, and number of wins for these teams. Conclusions: The analysis highlighted the differences in team characteristics. The interactive bar chart clearly showed the metrics for both teams, providing insights into how having the highest-paid player or scoring the most goals influences team composition and performance.

data analysis of the club with the highest net transfer record for each competition with the most wins club for each competition

This analysis aims to compare two distinct football teams: the team with the most transfers (largest squad size) and the team with the most wins. By examining metrics such as red and yellow cards, wins, and squad size, we seek to understand the differences and similarities between these two types of successful teams. The analysis highlights how the team with the most transfers and the team with the most wins perform in various aspects. By visually comparing red and yellow cards, wins, and squad size, we can see that different strategies lead to success in different ways. The team with the most transfers may have a larger squad but does not necessarily translate to more wins, whereas the team with the most wins showcases the efficiency and effectiveness of their squad.

Data analysis of the club with the highest net transfer record for each competition gruped by competition code

This analysis compares football teams with the most transfers (largest squad size) and the most wins across different competitions. The aim is to understand the key metrics and performance characteristics of these teams. The analysis reveals that teams with the most transfers and teams with the most wins can differ significantly in various metrics. By visually comparing these teams, we gain insights into how different strategies and team compositions impact performance in different competitions.